Gerlach Dana

No Thumbnail Available
Last Name
Gerlach
First Name
Dana
ORCID
0000-0003-3781-4641

Filters

2013 - 2019 1 2020 - 2024 5
5 1
Reset filters

Settings
Author: Gerlach, Dana × Has files: Yes ×

Search Results

Now showing 1 - 6 of 6
  • Presentation
    Capturing Provenance of Data Curation at BCO-DMO
    (Woods Hole Oceanographic Institution, 2020-11-09) Shepherd, Adam ; York, Amber ; Schloer, Conrad ; Kinkade, Danie ; Rauch, Shannon ; Copley, Nancy ; Gerlach, Dana ; Haskins, Christina ; Soenen, Karen ; Saito, Mak A. ; Wiebe, Peter
    At domain-specific data repositories, curation that strives for FAIR principles often entails transforming data submissions to improve understanding and reuse. The Biological and Chemical Oceanography Data Management Office (BCO-DMO, https://www.bco-dmo.org) has been adopting the data containerization specification of the Frictionless Data project (https://frictionlessdata.io) in an effort to improve its data curation process efficiency. In doing so, BCO-DMO has been using the Frictionless Data Package Pipelines library (https://github.com/frictionlessdata/datapackage-pipelines) to define the processing steps that transform original submissions to final data products. Because these pipelines are defined using a declarative language they can be serialized into formal provenance data structures using the Provenance Ontology (PROV-O, https://www.w3.org/TR/prov-o/). While there may still be some curation steps that cannot be easily automated, this method is a step towards reproducible transforms that bridge the original data submission to its published state in machine-actionable ways that benefit the research community through transparency in the data curation process. BCO-DMO has built a user interface on top of these modular tools for making it easier for data managers to process submission, reuse existing workflows, and make transparent the added value of domain-specific data curation.
  • Article
    Movement of deep-sea coral populations on climatic timescales
    (John Wiley & Sons, 2013-05-30) Thiagarajan, Nivedita ; Gerlach, Dana ; Roberts, Mark L. ; Burke, Andrea ; McNichol, Ann P. ; Jenkins, William J. ; Subhas, Adam V. ; Thresher, Ronald E. ; Adkins, Jess F.
    During the past 40,000 years, global climate has moved into and out of a full glacial period, with the deglaciation marked by several millennial-scale rapid climate change events. Here we investigate the ecological response of deep-sea coral communities to both glaciation and these rapid climate change events. We find that the deep-sea coral populations of Desmophyllum dianthus in both the North Atlantic and the Tasmanian seamounts expand at times of rapid climate change. However, during the more stable Last Glacial Maximum, the coral population globally retreats to a more restricted depth range. Holocene populations show regional patterns that provide some insight into what causes these dramatic changes in population structure. The most important factors are likely responses to climatically driven changes in productivity, [O2] and [CO32–].
  • Presentation
    Biological and Chemical Oceanography Data Management Office: Supporting a New Vision for Adaptive Management of Oceanographic Data [poster]
    (Woods Hole Oceanographic Institution, 2022-06-21) Shepherd, Adam ; Gerlach, Dana ; Heyl, Taylor ; Kinkade, Danie ; Nagala, Shravani ; Newman, Sawyer ; Rauch, Shannon ; Saito, Mak A. ; Schloer, Conrad ; Soenen, Karen ; Wiebe, Peter ; York, Amber
    An unparalleled data catalog of well-documented, interoperable oceanographic data and information, openly accessible to all end-users through an intuitive web-based interface for the purposes of advancing marine research, education, and policy. Conference Website: https://web.whoi.edu/ocb-workshop/
  • Presentation
    How can BCO-DMO help with your oceanographic data?
    (Woods Hole Oceanographic Institution, 2021-12-10) Soenen, Karen ; Gerlach, Dana ; Haskins, Christina ; Heyl, Taylor ; Kinkade, Danie ; Newman, Sawyer ; Rauch, Shannon ; Saito, Mak A. ; Shepherd, Adam ; Wiebe, Peter ; York, Amber D.
    BCO-DMO curates a database of research-ready data spanning the full range of marine ecosystem related measurements including in-situ and remotely sensed observations, experimental and model results, and synthesis products. We work closely with investigators to publish data and information from research projects supported by the National Science Foundation (NSF), as well as those supported by state, private, and other funding sources. BCO-DMO supports all phases of the data life cycle and ensures open access of well-curated project data and information. We employ F.A.I.R. Principles that comprise a set of values intended to guide data producers and publishers in establishing good data management practices that will enable effective reuse.
  • Presentation
    Fitting square pegs into a round hole. Curating heterogeneous oceanographic data at BCO-DMO
    (Woods Hole Oceanographic Institution, 2024-02-22) Soenen, Karen ; Kinkade, Danie ; Shepherd, Adam ; Saito, Mak A. ; Gerlach, Dana ; Merchant, Lynne M. ; Newman, Sawyer ; Rauch, Shannon ; York, Amber D.
    BCO-DMO is a domain-specific repository containing 18 years of curated, heterogeneous oceanographic data. Data managers are at the core of the repository, applying the F.A.I.R. principles to every dataset coming in. This talk steers the audience through such a curated dataset, covering the advancements and challenges that comes with domain curation.
  • Presentation
    Data Management and Reporting: BCO-DMO Data Management Services & Best Practices
    (Woods Hole Oceanographic Institution, 2024-08-20) Rauch, Shannon ; Kinkade, Danie ; Soenen, Karen ; Gerlach, Dana ; Merchant, Lynne M. ; Newman, Sawyer ; York, Amber ; Schloer, Conrad ; Shepherd, Adam
    BCO-DMO curates a database of research-ready data spanning the full range of marine ecosystem related measurements including in-situ and remotely sensed observations, experimental and model results, and synthesis products. We work closely with investigators to publish data and information from research projects in accordance with F.A.I.R. (Findable, Accessible, Interoperable, Reuseable) data principles.